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» Structured Relation Discovery using Generative Models
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ETFA
2008
IEEE
15 years 11 months ago
Automatic generation of bond graph models of process plants
This paper presents an application for the automatic generation of Bond Graph models. The basis for this automated creation is a modified plant model in the XML-format according t...
Sebastian Beez, Alexander Fay, Nina F. Thornhill
BMCBI
2005
153views more  BMCBI 2005»
15 years 4 months ago
A comparative review of estimates of the proportion unchanged genes and the false discovery rate
Background: In the analysis of microarray data one generally produces a vector of p-values that for each gene give the likelihood of obtaining equally strong evidence of change by...
Per Broberg
156
Voted
BMCBI
2010
124views more  BMCBI 2010»
15 years 5 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
87
Voted
JCISD
2002
63views more  JCISD 2002»
15 years 4 months ago
Prediction of Ultraviolet Spectral Absorbance Using Quantitative Structure-Property Relationships
High performance liquid chromatography (HPLC) with ultraviolet (UV) spectrophotometric detection is a common method for analyzing reaction products in organic chemistry. This proc...
William L. Fitch, Malcolm McGregor, Alan R. Katrit...
EACL
2009
ACL Anthology
15 years 2 months ago
Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
like text summarisation requires a means of producing novel summary sentences. In order to improve the grammaticality of the generated sentence, we model a global (sentence) level...
Stephen Wan, Mark Dras, Robert Dale, Cécile...